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AI-Based Autonomous Control, Management, and Orchestration in 5G: From Standards to Algorithms
IEEE NETWORK ( IF 9.3 ) Pub Date : 2020-12-02 , DOI: 10.1109/mnet.001.2000047
Dario Bega , Marco Gramaglia , Ramon Perez , Marco Fiore , Albert Banchs , Xavier Costa-Perez

While the application of artificial intelligence (Ai) to 5G networks has raised strong interest, standard solutions to bring Ai into 5G systems are still in their infancy and have a long way to go before they can be used to build an operational system. in this article, we contribute to bridging the gap between standards and a working solution by defining a framework that brings together the relevant standard specifications and complements them with additional building blocks. We populate this framework with concrete Ai-based algorithms that serve different purposes toward developing a fully operational system. We evaluate the performance resulting from applying our framework to control, management, and orchestration functions, showing the benefits that Ai can bring to 5G systems.

中文翻译:

5G中基于AI的自主控制,管理和协调:从标准到算法

虽然人工智能(Ai)在5G网络中的应用引起了人们的浓厚兴趣,但将Ai引入5G系统的标准解决方案仍处于起步阶段,并且在用于构建操作系统之前还有很长的路要走。在本文中,我们通过定义一个框架来弥合标准与可行解决方案之间的差距,该框架将相关的标准规范汇总在一起,并通过附加的构建块对其进行补充。我们使用基于Ai的具体算法填充此框架,这些算法可为开发完整的操作系统提供不同的目的。我们评估了将我们的框架应用于控制,管理和协调功能所产生的性能,从而显示了Ai可以为5G系统带来的好处。
更新日期:2020-12-04
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